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. 2021 May 20;11:10649. doi: 10.1038/s41598-021-90234-2

Table 2.

ANOVA of GLMMs explaining infestation abundance (assumed zero-inflated Poisson distribution).

Response Variable Χ2 df p Model parameters Random effects
All ticks Roe deer ecotype 24.5119 1  < 0.0001 AIC = 1813.4 Variance = 1.77
Roe deer ecotype × body Part 9.2963 4 0.0541 AIC0 = 2139.6 SD = 1.33
Body part 172.2561 4  < 0.0001
Females Roe deer ecotype 23.2019 1  < 0.0001 AIC = 1453.5 Variance = 1.43
Roe deer ecotype × body part 5.0384 4 0.2834 AIC0 = 1738.7 SD = 1.199
Body part 134.4630 4  < 0.0001
Adults Roe deer ecotype 23.8370 1  < 0.0001 AIC = 1696.8 Variance = 1.73
Roe deer ecotype × body part 5.1391 4 0.2733 AIC0 = 2069.3 SD = 1.31
Body part 217.0682 4  < 0.0001
Males Roe deer ecotype 15.0250 1 0.0001 AIC = 913.3 Variance = 1.43
Roe deer ecotype × body part 11.2970 4 0.0234 AIC0 = 1018.8 SD = 1.199
Body part 48.5230 4  < 0.0001
Nymphs Roe deer ecotype 10.0644 3 0.0180 AIC = 432.2 Variance = 1.20
Roe deer ecotype × body part 1.0776 4 0.8978 AIC0 = 1738.7 SD = 1.09
Body part 70.3049 6  < 0.0001

AIC—akaike information criterion, AIC0—AIC of null model (intercept only) < random effects cover dependence of observations among particular roe deer individual, Χ2—test statistic, df—degrees of freedom, p—p value.